Perturbation Theory for Scattering from Multilayers with Randomly Rough Fractal Interfaces: Remote Sensing Applications

A general, approximate perturbation method, able to provide closed-form expressions of scattering from a layered structure with an arbitrary number of rough interfaces, has been recently developed. Such a method provides a unique tool for the characterization of radar response patterns of natural ro...

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Published in:Sensors
Main Authors: Imperatore, Pasquale, Iodice, Antonio, Riccio, Daniele
Format: Text
Language:English
Published: MDPI 2017
Subjects:
Online Access:http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5795758/
http://www.ncbi.nlm.nih.gov/pubmed/29280979
https://doi.org/10.3390/s18010054
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spelling ftpubmed:oai:pubmedcentral.nih.gov:5795758 2023-05-15T18:18:27+02:00 Perturbation Theory for Scattering from Multilayers with Randomly Rough Fractal Interfaces: Remote Sensing Applications Imperatore, Pasquale Iodice, Antonio Riccio, Daniele 2017-12-27 http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5795758/ http://www.ncbi.nlm.nih.gov/pubmed/29280979 https://doi.org/10.3390/s18010054 en eng MDPI http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5795758/ http://www.ncbi.nlm.nih.gov/pubmed/29280979 http://dx.doi.org/10.3390/s18010054 © 2017 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). CC-BY Article Text 2017 ftpubmed https://doi.org/10.3390/s18010054 2018-02-18T01:13:58Z A general, approximate perturbation method, able to provide closed-form expressions of scattering from a layered structure with an arbitrary number of rough interfaces, has been recently developed. Such a method provides a unique tool for the characterization of radar response patterns of natural rough multilayers. In order to show that, here, for the first time in a journal paper, we describe the application of the developed perturbation theory to fractal interfaces; we then employ the perturbative method solution to analyze the scattering from real-world layered structures of practical interest in remote sensing applications. We focus on the dependence of normalized radar cross section on geometrical and physical properties of the considered scenarios, and we choose two classes of natural stratifications: wet paleosoil covered by a low-loss dry sand layer and a sea-ice layer above water with dry snow cover. Results are in accordance with the experimental evidence available in the literature for the low-loss dry sand layer, and they may provide useful indications about the actual ability of remote sensing instruments to perform sub-surface sensing for different sensor and scene parameters. Text Sea ice PubMed Central (PMC) Sensors 18 2 54
institution Open Polar
collection PubMed Central (PMC)
op_collection_id ftpubmed
language English
topic Article
spellingShingle Article
Imperatore, Pasquale
Iodice, Antonio
Riccio, Daniele
Perturbation Theory for Scattering from Multilayers with Randomly Rough Fractal Interfaces: Remote Sensing Applications
topic_facet Article
description A general, approximate perturbation method, able to provide closed-form expressions of scattering from a layered structure with an arbitrary number of rough interfaces, has been recently developed. Such a method provides a unique tool for the characterization of radar response patterns of natural rough multilayers. In order to show that, here, for the first time in a journal paper, we describe the application of the developed perturbation theory to fractal interfaces; we then employ the perturbative method solution to analyze the scattering from real-world layered structures of practical interest in remote sensing applications. We focus on the dependence of normalized radar cross section on geometrical and physical properties of the considered scenarios, and we choose two classes of natural stratifications: wet paleosoil covered by a low-loss dry sand layer and a sea-ice layer above water with dry snow cover. Results are in accordance with the experimental evidence available in the literature for the low-loss dry sand layer, and they may provide useful indications about the actual ability of remote sensing instruments to perform sub-surface sensing for different sensor and scene parameters.
format Text
author Imperatore, Pasquale
Iodice, Antonio
Riccio, Daniele
author_facet Imperatore, Pasquale
Iodice, Antonio
Riccio, Daniele
author_sort Imperatore, Pasquale
title Perturbation Theory for Scattering from Multilayers with Randomly Rough Fractal Interfaces: Remote Sensing Applications
title_short Perturbation Theory for Scattering from Multilayers with Randomly Rough Fractal Interfaces: Remote Sensing Applications
title_full Perturbation Theory for Scattering from Multilayers with Randomly Rough Fractal Interfaces: Remote Sensing Applications
title_fullStr Perturbation Theory for Scattering from Multilayers with Randomly Rough Fractal Interfaces: Remote Sensing Applications
title_full_unstemmed Perturbation Theory for Scattering from Multilayers with Randomly Rough Fractal Interfaces: Remote Sensing Applications
title_sort perturbation theory for scattering from multilayers with randomly rough fractal interfaces: remote sensing applications
publisher MDPI
publishDate 2017
url http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5795758/
http://www.ncbi.nlm.nih.gov/pubmed/29280979
https://doi.org/10.3390/s18010054
genre Sea ice
genre_facet Sea ice
op_relation http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5795758/
http://www.ncbi.nlm.nih.gov/pubmed/29280979
http://dx.doi.org/10.3390/s18010054
op_rights © 2017 by the authors.
Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
op_rightsnorm CC-BY
op_doi https://doi.org/10.3390/s18010054
container_title Sensors
container_volume 18
container_issue 2
container_start_page 54
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